DA0-002 Data Governance Practice Question
A data analyst is creating a report to compare the performance of different sales regions. The report will be used by regional managers to identify areas needing improvement. Which of the following visualization techniques would be most effective?
⚠ Common exam trap
Candidates often choose a pie chart (Option C) because they think 'contribution to the whole' is the goal, but the question asks for comparing performance across regions, which requires a common baseline — a task for which pie charts are notoriously poor.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
A bar chart comparing each region's sales
A bar chart is most effective because it allows direct, side-by-side comparison of discrete categories (sales regions) using a common baseline, making it easy for regional managers to quickly identify which regions are underperforming. The vertical bars encode exact values with high perceptual accuracy, supporting the report's goal of highlighting areas needing improvement.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
A bar chart comparing each region's sales
Why this is correct
A bar chart maps each region to a discrete bar, letting managers compare magnitudes across categories at a glance. This directly satisfies the requirement to rank regions and spot underperformance, which continuous or part-to-whole charts would obscure.
- ✗
A line chart showing overall company sales
Why it's wrong here
A line chart plots a single measure across a continuous time axis, so it cannot display discrete per-region comparisons. It suits trend analysis of total company sales over months or quarters. Comparing regions requires a categorical axis, such as a bar chart with one bar per region.
- ✗
A pie chart showing each region's contribution
Why it's wrong here
A pie chart encodes each region as a slice of a whole, which supports part-to-whole contribution but makes precise comparison between similar slices difficult, especially beyond a few categories. A bar chart with a shared categorical axis allows managers to rank regions directly and spot underperformance.
- ✗
A scatter plot of sales vs. expenses
Why it's wrong here
A scatter plot positions points by two continuous numeric variables, showing correlation between sales and expenses rather than ranking regions against each other. It would be correct for examining whether higher spending correlates with higher sales, not for comparing regional performance on one measure.
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